Sila National Park - 3D Point cloud data

This dataset contains 3 types of data. GPS data (the ones starting with <em>"GPS"</em>) of sampling plot centers collected with a Trimble GPS and post processed to ensure positioning errors lower than 2 meters. TLS data, (the ones starting with <em>"ID_"</em>): such data were collected in the end of August 2019 with a mobile terrestrial laser scanner (mobile ZEB TLS) in a squared area of approximatively 30x30m. Data have been normalized using TreeLS package in R. ALS data collected in the end of July 2019. For the entire study area, we upload 2 different ALS data: "<em>merged.las</em>" is the original point cloud; "<em>myLas_norm_lt22.las</em>" is the normalised point cloud, cut at 22 meters from the ground in order to perform specific analysis (i.e. paper under submission). Data collection was founded by the <em>AGRIDIGIT Selvicoltura</em> project.本数据集包含三类数据。第一类为GPS数据（以<em>"GPS"</em>开头的数据）：采用天宝（Trimble）GPS接收机采集样地中心的GPS数据，并经过后处理以确保定位误差低于2米。第二类为地面激光扫描仪（Terrestrial Laser Scanner, TLS）数据（以<em>"ID_"</em>开头的数据）：该类数据于2019年8月末采集，使用移动型地面激光扫描仪（mobile ZEB TLS）在约30×30米的方形区域内完成采集，所有数据已通过R语言的TreeLS软件包完成归一化处理。第三类为机载激光扫描（Airborne Laser Scanning, ALS）数据，采集于2019年7月末。针对整个研究区域，我们上传了两类不同的ALS数据：<em>merged.las</em>为原始点云文件；<em>myLas_norm_lt22.las</em>为归一化点云文件，该文件已截取距地面22米以内的点云以用于特定分析（即处于投稿阶段的论文相关研究）。本数据集的采集工作由<em>AGRIDIGIT Selvicoltura</em>项目资助。